Visual Target Tracking Algorithm via Multi-scale Block and Sparse Representation

Visual Target Tracking Algorithm via Multi-scale Block and Sparse Representation

In this paper, we propose a novel algorithm to deal with the problem of visual tracking in some challenging situations, which is based on sparse representation and multi-scale block. To build target templates, we select distinguishable features between the target and background in each frame of video sequences, dictionary is built by the multi-scale block of target templates. Then, particle fil...

Object Tracking via Pixel-Wise and Block-Wise Sparse Representation

Visual tracking and Illumination Recovery via Sparse Representation

Title of dissertation: VISUAL TRACKING AND ILLUMINATION RECOVERY VIA SPARSE REPRESENTATION Xue Mei, Doctor of Philosophy, 2009 Dissertation directed by: Professor David W. Jacobs Department of Computer Science And Professor Gang Qu Department of Electrical and Computer Engineering Compressive sensing, or sparse representation, has played a fundamental role in many fields of science. It shows th...

Robust Visual Tracking via Appearance Modeling and Sparse Representation

When appearance variation of object, partial occlusion or illumination change in object images occurs, most existing tracking approaches fail to track the target effectively. To deal with the problem, this paper proposed a robust visual tracking method based on appearance modeling and sparse representation. The proposed method exploits two-dimensional principal component analysis (2DPCA) with s...

Robust Visual Object Tracking via Sparse Representation and Reconstruction

Visual object tracking plays an essential role in vision based applications. Most of the previous research has limitations due to the non-discriminated features used or the focus on simple template matching without the consideration of appearance variations. To address these challenges, this paper proposes a new approach for robust visual object tracking via sparse representation and reconstruc...